Cover Image

Reducing Texture Bias of Deep Neural Networks via Edge Enhancing Diffusion

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Heinert, Edgar, Rottmann, Matthias, Maag, Kira, Kahl, Karsten
Format:	Preprint
Published:	2024
Subjects:	Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Transferring Styles for Reduced Texture Bias and Improved Robustness in Semantic Segmentation Networks
by: Hamscher, Ben, et al.
Published: (2025)

False Negative Reduction in Semantic Segmentation under Domain Shift using Depth Estimation
by: Maag, Kira, et al.
Published: (2022)

Shape Bias and Robustness Evaluation via Cue Decomposition for Image Classification and Segmentation
by: Heinert, Edgar, et al.
Published: (2025)

Time-Dynamic Estimates of the Reliability of Deep Semantic Segmentation Networks
by: Maag, Kira, et al.
Published: (2019)

Uncertainty and Prediction Quality Estimation for Semantic Segmentation via Graph Neural Networks
by: Heinert, Edgar, et al.
Published: (2024)

On the Influence of Shape, Texture and Color for Learning Semantic Segmentation
by: Mütze, Annika, et al.
Published: (2024)

Pixel-wise Gradient Uncertainty for Convolutional Neural Networks applied to Out-of-Distribution Segmentation
by: Maag, Kira, et al.
Published: (2023)

False Negative Reduction in Video Instance Segmentation using Uncertainty Estimates
by: Maag, Kira
Published: (2021)

Poly-MgNet: Polynomial Building Blocks in Multigrid-Inspired ResNets
by: van Betteray, Antonia, et al.
Published: (2025)

PRIMU: Uncertainty Estimation for Novel Views in Gaussian Splatting from Primitive-Based Representations of Error and Coverage
by: Gottwald, Thomas, et al.
Published: (2025)

Improving Video Instance Segmentation by Light-weight Temporal Uncertainty Estimates
by: Maag, Kira, et al.
Published: (2020)

Multi-Scale Foreground-Background Confidence for Out-of-Distribution Segmentation
by: Marschall, Samuel, et al.
Published: (2024)

Uncertainty-based Detection of Adversarial Attacks in Semantic Segmentation
by: Maag, Kira, et al.
Published: (2023)

Uncertainty-weighted Loss Functions for Improved Adversarial Attacks on Semantic Segmentation
by: Maag, Kira, et al.
Published: (2023)

Detecting Adversarial Attacks in Semantic Segmentation via Uncertainty Estimation: A Deep Analysis
by: Maag, Kira, et al.
Published: (2024)

On Background Bias of Post-Hoc Concept Embeddings in Computer Vision DNNs
by: Schwalbe, Gesina, et al.
Published: (2025)

Predictive Photometric Uncertainty in Gaussian Splatting for Novel View Synthesis
by: Galappaththige, Chamuditha Jayanga, et al.
Published: (2026)

VideoGAN-based Trajectory Proposal for Automated Vehicles
by: Mariani, Annajoyce, et al.
Published: (2025)

Out-of-Distribution Segmentation via Wasserstein-Based Evidential Uncertainty
by: Brosch, Arnold, et al.
Published: (2025)

Spatio-Temporal Attention for Consistent Video Semantic Segmentation in Automated Driving
by: Varghese, Serin, et al.
Published: (2026)

SparseRadNet: Sparse Perception Neural Network on Subsampled Radar Data
by: Wu, Jialong, et al.
Published: (2024)

EdgeGaussians -- 3D Edge Mapping via Gaussian Splatting
by: Chelani, Kunal, et al.
Published: (2024)

Two Video Data Sets for Tracking and Retrieval of Out of Distribution Objects
by: Maag, Kira, et al.
Published: (2022)

Towards Reliable Detection of Empty Space: Conditional Marked Point Processes for Object Detection
by: Riedlinger, Tobias J., et al.
Published: (2025)

On the Potential of Open-Vocabulary Models for Object Detection in Unusual Street Scenes
by: Ilyas, Sadia, et al.
Published: (2024)

Control Your Queries: Heterogeneous Query Interaction for Camera-Radar Fusion
by: Wu, Jialong, et al.
Published: (2026)

Deep Neural Networks Fused with Textures for Image Classification
by: Bera, Asish, et al.
Published: (2023)

Geometric Consistency Refinement for Single Image Novel View Synthesis via Test-Time Adaptation of Diffusion Models
by: Bengtson, Josef, et al.
Published: (2025)

FutrTrack: A Camera-LiDAR Fusion Transformer for 3D Multiple Object Tracking
by: Teye, Martha Teiko, et al.
Published: (2025)

LiDAR MOT-DETR: A LiDAR-based Two-Stage Transformer for 3D Multiple Object Tracking
by: Teye, Martha Teiko, et al.
Published: (2025)

Dance Style Classification using Laban-Inspired and Frequency-Domain Motion Features
by: Hamscher, Ben, et al.
Published: (2025)

Refining Tuberculosis Detection in CXR Imaging: Addressing Bias in Deep Neural Networks via Interpretability
by: Güler, Özgür Acar, et al.
Published: (2024)

Out-of-Distribution Object Detection in Street Scenes via Synthetic Outlier Exposure and Transfer Learning
by: Ilyas, Sadia, et al.
Published: (2026)

Bias-Reduced Neural Networks for Parameter Estimation in Quantitative MRI
by: Mao, Andrew, et al.
Published: (2023)

EdgeLDR: Quaternion Low-Displacement Rank Neural Networks for Edge-Efficient Deep Learning
by: Frants, Vladimir, et al.
Published: (2026)

Can We Challenge Open-Vocabulary Object Detectors with Generated Content in Street Scenes?
by: Mütze, Annika, et al.
Published: (2025)

TARS: Traffic-Aware Radar Scene Flow Estimation
by: Wu, Jialong, et al.
Published: (2025)

Err on the Side of Texture: Texture Bias on Real Data
by: Hoak, Blaine, et al.
Published: (2024)

Edge-Boundary-Texture Loss: A Tri-Class Generalization of Weighted Binary Cross-Entropy for Enhanced Edge Detection
by: Shu, Hao
Published: (2025)

GMT: Enhancing Generalizable Neural Rendering via Geometry-Driven Multi-Reference Texture Transfer
by: Yoon, Youngho, et al.
Published: (2024)